Computer Aided Diagnosis of Digital Mammograms

Computer-aided Diagnosis of Screen Film Mammograms

Computer-aided Diagnostic Systems for Digital Mammograms

ii ACKNOWLEDGEMENTS I feel privileged to have had the opportunity to work on this project. I would like to thank Dr. Tyler for serving as my advisor as well as Drs. Priya Vashishta, Rajiv Kalia, and Aiichiro Nakano for their support, encouragement and advice. I would like to sincerely thank Dr. serving on my thesis committee. I would like to thank my mother Verna Lee for her help in preparing t...

Computer Aided Diagnosis in Digital Mammograms: Detection of Microcalcifications by Meta Heuristic Algorithms

This research applies the meta-heuristic methods such as Ant Colony Optimization (ACO) and Genetic Algorithm (GA) for identification of suspicious region in mammograms. The proposed method uses the asymmetry principle (bilateral subtraction): Strong structural asymmetries between corresponding regions in the left and right breast are taken as evidence for the possible presence of microcalcifica...

Deep Learning based Computer Aided Diagnosis System for Breast Mammograms

In this paper, a framework has been presented by using a combination of deep Convolutional Neural Network (CNN) with Support Vector Machine (SVM). Proposed method first perform preprocessing to resize the image so that it can be suitable for CNN and perform enhancement quality of the images can be enhanced. Deep Convolutional Neural Network (CNN) has been used for features extraction and classi...

Computer Aided Detection of Abnormalities in Mammograms

A system that automatically identifies suspicious regions in mammograms could be useful to radiologists by drawing attention to abnormalities that may otherwise have been overlooked. Two detection algorithms are described; one based on the combination of evidence from multiple cue generators and the other based on fuzzy pyramid linking. The latter algorithm proved to be the more effective for l...